Margdarshak: A mobile data analytics based commute time estimator cum route recommender

Rohit Verma, Aviral Shrivastava, Sandip Chakraborty, Bivas Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Waiting at traffic signals and getting stuck in traffic congestion eats a lot of time for a commuter in most of the metro cities of the world. Although there exists a large pool of navigation applications, but all of them turn out to be ineffective for dynamically finding out the best route under uncertainty. In this work, we present Margdarshak, a navigation system which utilizes the impact of congestion and wait time at traffic signals for estimating the travel time over a route. We collected a month-long traffic data from different routes at five various cities in India for analyzing the problem in detail. The evaluations performed over the system show that Margdarshak gives a mean estimation error of ±1.5 minutes, and performs significantly better under uncertainty, compared to other state of the art navigation systems like Google Maps, Here Maps and Waze.

Original languageEnglish (US)
Title of host publicationWPA 2016 - Proceedings of the 3rd International Workshop on Physical Analytics, co-located with MobiSys 2016
PublisherAssociation for Computing Machinery, Inc
Pages31-36
Number of pages6
ISBN (Electronic)9781450343282
DOIs
StatePublished - Jun 26 2016
Externally publishedYes
Event3rd International Workshop on Physical Analytics, WPA 2016 - Singapore, Singapore
Duration: Jun 26 2016 → …

Other

Other3rd International Workshop on Physical Analytics, WPA 2016
CountrySingapore
CitySingapore
Period6/26/16 → …

Keywords

  • Congestion
  • Navigation
  • Traffic signals

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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